Coppock, Alexander, Alan S. Gerber, Donald P. Green, and Holger L. Kern. 
Combining Double Sampling and Bounds to Address Non-Ignorable Missing Outcomes in Randomized Experiments. 
Political Analysis (in press)

Replication Archive README

The contents of these replication archive are as follows:

1. levendusky_mturk_clean.csv: The experimental data.
2. simulation_analysis.R: The script that conducts our simulations and produces Figure 1 and Appendix Figure 1.
3. experimental_analysis_main_text.R: The analysis script for results presented in the main text: Table 1, Table 2, Table 3, and Figure 2.
4. experimental_analysis_appendix.R: The analysis script for results presented in the appendix: creates Appendix Table 1 and Appendix Table 2.
5. attrition_0.0.0.9000.tar.gz: The attrition r package
6. commarobust_0.1.0.tar.gz: The commarobust r package 

The empirical results presented in the paper were calculated with the attrition and commarobust packages, both of which are currently under development. In our replication files, we suggest that users install the packages from github using devtools::install_github(). This procedure is easy and will give users access to the most recent development versions of the packages. In the interest of full replicability, we include the source of the version of the packages used in the paper, which can be installed with install.packages(path_to_file, repos = NULL, type="source").


All results obtained with the following software versions:

> sessionInfo()
R version 3.3.1 (2016-06-21)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: OS X 10.11.6 (El Capitan)

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] attrition_0.0.0.9000 commarobust_0.1.0    stargazer_5.1        xtable_1.8-2         dplyr_0.5.0         

loaded via a namespace (and not attached):
[1] magrittr_1.5   R6_2.1.2       assertthat_0.1 DBI_0.4-1      tools_3.3.1    tibble_1.1     Rcpp_0.12.6 


